AI RESEARCH

Decentralized Ranking Aggregation via Gossip: Convergence and Robustness

arXiv CS.AI

ArXi:2602.22847v2 Announce Type: replace-cross The concept of ranking aggregation plays a central role in preference analysis, and numerous algorithms for calculating median rankings, often originating in social choice theory, have been documented in the literature, offering theoretical guarantees in a centralized setting, \textit{i.e.}, when all the ranking data to be aggregated can be brought together in a single computing unit.